Advanced Topics in Social Statistics and Demography

Francesca Tosi, Chiara Ludovica Comolli, Livia Elisa Ortensi

  • Date:

    07 JANUARY
    -
    31 MAY 2025
     from 10:00 to 16:00
  • Event location: Aula IV, Department of Statistical Sciences, Via Belle Arti 41 (STAT PhD Classes Virtual Room on need) - In presence and online event

  • Type: Cycle 40 - Elective Courses

Aims: This course aims to provide an in-depth understanding of advanced research methods and their application in the social statistics and population field. It seeks to develop a comprehensive understanding of demographic trends from both a developed and developing country perspective. Particular attention will be devoted to the adoption of a longitudinal life course perspective.

Learning outcomes: At the end of the course, students will be able to: gain a thorough understanding of advanced statistical techniques and their applications in demography; analyze demographic data and trends from both developed and developing countries; understand and apply longitudinal and life course perspectives in demographic studies; conduct empirical research using real-world data to investigate demographic questions; Interpret the effects of demographic changes on contemporary societies.

Course contents

- Introduction to Social Demography and Population Sciences:

  • Overview of core areas: mortality, fertility, migration, population aging, and socio-economic interrelations
  • Distinctions between developed and developing countries' demography

- Advanced Statistical Methods for Demographic Research:

  • Statistical techniques for analyzing fertility, mortality, and migration data
  • Adoption of longitudinal and life course perspectives in demographic research

- Applied Data Analysis in Demography:

  • Practical sessions on data handling and analysis
  • Case studies on specific demographic phenomena

- Formal Lectures and Informal Seminars:

  • Theoretical discussions on demographic changes and their societal impacts
  • Interactive seminars to explore various demographic scenarios and models

- Lab Sessions:

  • Hands-on experience in demographic data analysis
  • Application of statistical methods to real-world scenarios